Picture debugging a critical production issue where the logs show a sensor event was processed before it was captured. Impossible? No, just unsynchronized clocks. That was our reality building distributed embedded systems, since our platforms rely on multiple Systems-on-Module working in concert, each handling different sensors and processing tasks. Without
During prototyping of our EverBowl and EverHub hardware, we used the Raspberry Pi Compute Module 4 as our embedded compute platform for early-stage development, a prototyping vehicle ahead of transitioning to Hoomanely's custom, purpose-built System on Module for production. The CM4 requires specific initialization procedures to establish reliable
At Hoomanely, we set out to build connected pet products that could genuinely understand pet behavior and health through multiple sensors working together. Trackers needed to monitor activity, detect vocalizations, track location, and communicate over long distances. Smart bowls needed to measure food consumption precisely, detect presence, capture video, and
Eliminate server upload bottlenecks with presigned URLs, enable massive file uploads via multipart, and automate storage archival for significant ongoing savings. Building a media-heavy application means handling large files, video, images, documents, efficiently without bottlenecking your application servers. Whether you're processing video, managing user-generated media, or handling document
Automate Flutter deployments with Fastlane: reduce release time 70%, eliminate version errors, and achieve reproducible releases across your team.
Implement secure BLE L2CAP CoC streaming with Flutter. Learn dynamic PSM, CoC setup on iOS/Android, and high-speed data over BLE.